本发明公开了一种基于数字化图像处理的全自动连铸坯中心偏析的评级系统，所述方法首先对准备分析的连铸坯宽度的四分之一位置进行打磨，并对相应截面进行腐蚀，对腐蚀后截面中心偏析最为严重处进行采样，将采样图像进行二值化处理，以区分偏析部分和周围基体，然后统计偏析点个数，每个偏析点等效长轴长、面积和外接矩形的长宽等数据，按照长度方向为x方向，将各个偏析点的等效长轴长投影到x方向，计算中心偏析的连续度，以连续度作为中心偏析评级的评定标准进行评级或者按照以偏析点的尺寸按照Rapp的标准进行评级。本发明最大程度上减小了人为评级过程中的不确定性因素所导致的误差，实现了对中心偏析的客观，自动评级。

The invention discloses a kind of casting billet center segregation based on digital image processing of automatic rating system, described methods for the analysis of continuous casting slab width first quarter position for grinding, and the corresponding section of corrosion, the corrosion after the section center segregation is most severe in sampling, the sampling image binarization processing, in order to distinguish between segregation part and the surrounding matrix, Then, the number of segregation points, the equivalent long axis length and area of each segregation point and the length and width of the outer rectangle were counted. According to the x direction, the equivalent long axis length of each segregation point was projected to the X direction to calculate the continuity of the central segregation. Ratings were performed using continuity as the standard for central segregation rating or Rapp as the size of the segregation point. The invention reduces the error caused by uncertain factors in the process of artificial rating to the greatest extent, and realizes the objective and automatic rating of center segregation.